Data Analyst

Hybrid Full TimeWarsaw, Masovian Voivodeship, PolandALGOTEQUE Innovation Hub

Role Overview

ALGOTEQUE is an IT consulting firm that supports startups, medium and large enterprises in creating and implementing innovative technologies. Our team has documented successes in designing, developing, implementing and integrating programming solutions (AI, ML, BI, Web, Automation) for industries such as telecommunications, energy, banking, insurance, pharmacy, automotive, industry and e-commerce.

What You Will Do

Collecting, refining and documenting functional and non-functional requirements. Analysis of source systems, data structures, business events and data flows. Designing data mappings between source systems, data architecture layers and target systems.

Why It Might Be a Fit

Independence, responsibility and analytical thinking skills. Familiarity with the English language at a minimum B2 level.

Requirements

  • Minimum 3 years of experience as a System Analyst, IT or Data in projects related to data platforms, data warehouses, reporting or processing large volumes of data.
  • Very good knowledge of SQL and practical experience in data analysis and database structure analysis.
  • Experience in data modeling and mapping, including source-to-target, relational and dimensional modeling.
  • Familiarity with ETL/ELT processes, data architectures, including Medallion Architecture, and data processing pipelines.
  • Ability to collect, analyze and document business, functional and system requirements.
  • Familiarity with UML, BPMN, sequence diagrams, use cases and data flow models.
  • Experience in defining non-functional requirements and analyzing the impact of changes.
  • Ability to cooperate with business and technical stakeholders and lead analytical workshops.
  • Practical knowledge of tools such as Jira, Azure DevOps, Confluence or similar.
  • Independence, responsibility and analytical thinking skills.
  • Familiarity with the English language at a minimum B2 level.

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To apply for this job please visit linkedin.com.

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